Weien Zhou - RankMe

45 papers A* 2B 2Journal 40Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations. CoRR Hanqing Liu, Jiahuan Long, Junqi Wu, Jiacheng Hou, Huili Tang, Tingsong Jiang, Weien Zhou, Wen Yao
2025	J	`jnl`	Gradient-based sparse voxel attacks on point cloud object detection. Pattern Recognit. Junqi Wu, Wen Yao, Shuai Jia, Tingsong Jiang, Weien Zhou, Chao Ma, Xiaoqian Chen
2025	J	`jnl`	Heat source layout optimization using automatic deep learning surrogate and multimodal neighborhood search algorithm. Ann. Oper. Res. Jialiang Sun, Xiaohu Zheng, Wen Yao, Xiaoya Zhang, Weien Zhou, Xiaoqian Chen
2025	J	`jnl`	Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors. CoRR Shihang Li, Zhiqiang Gong, Weien Zhou, Yue Gao, Wen Yao
2025	J	`jnl`	Mixed integer programming modeling for the satellite three-dimensional layout optimization problem from two component assignment perspectives. Expert Syst. Appl. Yufeng Xia, Xianqi Chen, Zhijia Liu, Weien Zhou, Wen Yao, Zhongneng Zhang, Chenxi Wang
2025	J	`jnl`	Multi-scale topology optimization of multi-material heterogeneous microstructures based on deep learning. J. Comput. Des. Eng. Jiaxiang Luo, Yu Li, Weien Zhou, Zeyu Zhang, Wen Yao
2025	J	`jnl`	PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking. CoRR Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, Xiaoqian Chen
2025	J	`jnl`	Self-adaptive hybrid uncertainty integration method via deterministic analytic formula. Reliab. Eng. Syst. Saf. Yingchun Xu, Xiaohu Zheng, Xiaoya Zhang, Weien Zhou, Wen Yao
2024	J	`jnl`	An invisible, robust copyright protection method for DNN-generated content. Neural Networks Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, Lang Lin, Xiaoqian Chen
2024	B	`conf`	HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling. IJCNN Yifan Hao, Yang Yang, Junru Song, Wei Peng, Weien Zhou, Tingsong Jiang, Wen Yao
2024	J	`jnl`	HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling. CoRR Yifan Hao, Yang Yang, Junru Song, Wei Peng, Weien Zhou, Tingsong Jiang, Wen Yao
2024	A*	`conf`	MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders. AAAI Junru Song, Yang Yang, Wei Peng, Weien Zhou, Feifei Wang, Wen Yao
2024	—	`conf`	PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking. ECCV (51) Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, Xiaoqian Chen
2024	B	`conf`	The Constrained Niching Differential Evolution Algorithm for Satellite Layout Optimization Design. CEC Zhongneng Zhang, Xianqi Chen, Yufeng Xia, Wen Yao, Weien Zhou, Yu Li, Bingxiao Du
2023	J	`jnl`	A CNN with noise inclined module and denoise framework for hyperspectral image classification. IET Image Process. Zhiqiang Gong, Ping Zhong, Wen Yao, Weien Zhou, Jiahao Qi, Panhe Hu
2023	J	`jnl`	A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications. CoRR Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, Lang Lin, Xiaoqian Chen
2023	J	`jnl`	A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. Sci. China Inf. Sci. Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao
2023	J	`jnl`	Adversarial patch attacks against aerial imagery object detectors. Neurocomputing Guijian Tang, Tingsong Jiang, Weien Zhou, Chao Li, Wen Yao, Yong Zhao
2023	J	`jnl`	Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data. Neurocomputing Xu Liu, Wen Yao, Wei Peng, Weien Zhou
2023	J	`jnl`	Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction. Eng. Appl. Artif. Intell. Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2023	J	`jnl`	Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. CoRR Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
2023	J	`jnl`	Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. Eng. Appl. Artif. Intell. Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
2023	J	`jnl`	Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors. IEEE Trans. Geosci. Remote. Sens. Guijian Tang, Wen Yao, Tingsong Jiang, Weien Zhou, Yang Yang, Donghua Wang
2023	J	`jnl`	RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. CoRR Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Weien Zhou, Wen Yao, Yunyang Zhang
2022	J	`jnl`	A novel meta-learning initialization method for physics-informed neural networks. Neural Comput. Appl. Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
2022	J	`jnl`	Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data. CoRR Xu Liu, Wen Yao, Wei Peng, Weien Zhou
2022	A*	`conf`	FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. AAAI Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen
2022	J	`jnl`	Heat Source Layout Optimization Using Automatic Deep Learning Surrogate Model and Multimodal Neighborhood Search Algorithm. CoRR Jialiang Sun, Xiaohu Zheng, Wen Yao, Xiaoya Zhang, Weien Zhou
2022	J	`jnl`	RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks. CoRR Wei Peng, Weien Zhou, Xiaoya Zhang, Wen Yao, Zheliang Liu
2022	J	`jnl`	Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks. CoRR Wei Peng, Wen Yao, Weien Zhou, Xiaoya Zhang, Weijie Yao
2022	J	`jnl`	Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation. CoRR Jialiang Sun, Tingsong Jiang, Chao Li, Weien Zhou, Xiaoya Zhang, Wen Yao, Xiaoqian Chen
2022	J	`jnl`	Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks. CoRR Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2022	J	`jnl`	Temperature field inversion of heat-source systems via physics-informed neural networks. Eng. Appl. Artif. Intell. Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2021	J	`jnl`	A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. CoRR Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, Wen Yao
2021	J	`jnl`	A novel meta-learning initialization method for physics-informed neural networks. CoRR Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
2021	J	`jnl`	FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. CoRR Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Xiaoya Zhang, Zhiqiang Gong, Wen Yao, Xiaoqian Chen
2021	J	`jnl`	IDRLnet: A Physics-Informed Neural Network Library. CoRR Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen
2021	J	`jnl`	Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. CoRR Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2021	J	`jnl`	TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. CoRR Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao
2020	J	`jnl`	A Deep Learning-Based Method for Heat Source Layout Inverse Design. IEEE Access Jialiang Sun, Jun Zhang, Xiaoya Zhang, Weien Zhou
2020	J	`jnl`	Accelerating Physics-Informed Neural Network Training with Prior Dictionaries. CoRR Wei Peng, Weien Zhou, Jun Zhang, Wen Yao
2020	J	`jnl`	Multisource Selective Transfer Framework in Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Jun Zhang, Weien Zhou, Xianqi Chen, Wen Yao, Lu Cao
2018	J	`jnl`	Analysis of the damped nonlinear space-fractional Schrödinger equation. Appl. Math. Comput. Jiarui Liang, Songhe Song, Weien Zhou, Hao Fu
2017	J	`jnl`	Stochastic symplectic Runge-Kutta methods for the strong approximation of Hamiltonian systems with additive noise. J. Comput. Appl. Math. Weien Zhou, Jingjing Zhang, Jialin Hong, Songhe Song
2017	J	`jnl`	Stochastic symplectic and multi-symplectic methods for nonlinear Schrödinger equation with white noise dispersion. J. Comput. Phys. Jianbo Cui, Jialin Hong, Zhihui Liu, Weien Zhou